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Bat algorithm (demo)

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Bat algorithm (demo)

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Xin-She Yang (view profile)

 

This is a demo for Bat Algorithm, developed by Xin-She Yang (2010).

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Description

This is a short demo for the popular, nature-inspired/metaheuristic,
bat algorithm (BA), which can deal with nonlinear, global optimization problems.
Bat algorithm has the advantages of simplicity, flexility and stability.
It can also automatically switch from global exploration to
local exploitation by fine-tuning its parameters: A and r.

The paper can be downloaded at
http://arxiv.org/abs/1004.4170

Required Products MATLAB
MATLAB release MATLAB 7 (R14)
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Comments and Ratings (21)
06 Jun 2016 yi'xing wang  
25 Mar 2016 payam baban  
28 Feb 2016 Shramana GS

I Have a Question. Everytime I run this algorithm, I get different sets of solutions every time. Why is it so? Shouldn't there be a unique solution for a given problem? Plz Help.

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27 Jan 2016 Sindhuja J  
22 Jan 2016 baibhav bishal  
14 Oct 2015 karim

karim (view profile)

Hello
@ Eric : In the article published by Dr. Yang, he did not specify that “epsilon” must be a uniform random number.

Comparing the proposed demo and the pseudo-code presented in the article of Dr. Yang, I noticed this:
In the article: if (rand < Ai & f(xi) < f(x*)) and x* is the current global best location (solution) which is located after comparing all the solutions among all the n bats. But, in the demo,
if (Fnew<=Fitness(i)) & (rand<A),
Sol(i,:)=S(i,:);
Fitness(i)=Fnew;
end
I understand from this that for each bat, we do a comparaison between the new calculated fitness values against the previous one, not against the global best. Then, each bat memorises his "individual" best location and update it according to the condition mentionned above. I hope that i will have clarification about this.

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27 Sep 2015 Eric

Eric (view profile)

There are three discrepancies in this code (compared to the published algorithm)

1. Line 79
Q(i)=Qmin+(Qmin-Qmax)*rand;

should be replaced with
Q(i)=Qmin+(Qmax-Qmin)*rand;

2. Similar to what @Frank said
Line 83
Sol(i,:)=simplebounds(Sol(i,:),Lb,Ub);

should be replaced with
S(i,:)=simplebounds(S(i,:),Lb,Ub);
and moved to Line 89 (*before* %Evaluate Evaluate new solutions)

3. Line 87
S(i,:)=best+0.001*randn(1,d);

The 2010 paper "A New Metaheuristic Bat-Inspired Algorithm" seems to suggest that 0.001 should be the variable "A" and that randn(1,d) should actually be 1-2*rand(1,d)... that is a uniformly distributed random number bounded by [-1,1].

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29 Jul 2015 leoc

leoc (view profile)

@Frank,

I noticed that problem as well. Your solution seems to work, though it would have been great if Dr. Yang could provide with a formal solution.

19 Nov 2014 Amon

Amon (view profile)

Hello
I have my Objective function and constraint, anyone can help me to guide me on how implement it.
Actually mu purpose is reduce electric distribution loss.

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25 Jun 2014 acharab

It is good.

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15 May 2014 Frank

Frank (view profile)

Would this line of code in bat_algorithm.m:

% Apply simple bounds/limits
Sol(i,:)=simplebounds(Sol(i,:),Lb,Ub);

be moved to just above the line of
% Evaluate new solutions

and be modified to:
S(i,:)=simplebounds(S(i,:),Lb,Ub);

so that we may not have solutions outside the lower and upper bound?

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03 Apr 2014 hui

hui (view profile)

Easy to understand...

25 Mar 2014 Al Algo

Very easy to understand but works magic.

13 Nov 2013 peng

peng (view profile)

It is easy to understand, and it works magic. Excellent!

08 Aug 2013 godwin tgn

simple and easy of use.... thanks

02 Jun 2013 sehrish

I am interest in your optimization algorithm. May i know is there a 'train' function coded because I would want to use it to train neural network.
Thank you.

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27 Apr 2013 sehrish

Hi plz anyone can guide how to train Neural Network using Bat algorithm????

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26 Oct 2012 d g

d g (view profile)

also how to get graphs for bat algorithm..?

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26 Oct 2012 d g

d g (view profile)

hey i want to compare cuckoo search and bat algorithm.. can you tell me on what parameters should i compare them..

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31 Jul 2012 teroy tman

It is very good.

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22 Jul 2012 Q Q

Q Q (view profile)

It is easy to understand, and it works magic. Excellent!

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